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To improve accuracy and efficiency of object detection and classification with hyperspectral imagery (HSI), we propose a novel smoothing algorithm by coupling of a Laplacian-based reaction term to a classical divergence-based anisotropic diffusion partial differential equation (PDE). In addition, an adaptive parameter is introduced to regularize this nonlinear reaction-diffusion PDE by explicitly...
Noise reduction is an active research area in hyperspectral image processing due to its importance in improving the quality of image for the subsequent applications. To improve the accuracy and efficiency of object recognition and classification using hyperspectral imagery (HSI), we propose a novel smoothing algorithm by coupling a Laplacian-based reaction term to a classical anisotropic diffusion...
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